GitHub Articles
What is AI orchestration?
AI orchestration coordinates how models, agents, tools, and data work together, making complex workflows easier to run, trace, and debug.
What is AI agent orchestration?
AI agent orchestration is the process of coordinating multiple autonomous AI agents to work together toward shared goals. It provides a control layer for managing execution, context, and collaboration across agents, ensuring tasks are completed efficiently, securely, and at scale.
What is Deep Learning?
Discover how deep learning works, why it matters, and where it’s going next.
What is the Model Context Protocol (MCP)?
Model Context Protocol (MCP) connects AI models to tools, data, and services in a standardized way, enabling AI systems to take controlled actions.
What are AI agents?
AI agents transform software development by automating workflows and enhancing security. Explore the different types of AI agents and get a glimpse into the future of AI in development and security.
What is static application security testing (SAST)?
SAST enables developers to uncover security threats earlier in the development process, thereby safeguarding an application’s successful deployment.
What is prompt engineering?
Prompt engineering is the practice of crafting effective instructions that guide AI models to produce accurate, useful results.
What is Unsupervised Learning?
Unsupervised learning finds patterns in unlabeled data, making sense of complex datasets.
What is software composition analysis (SCA)?
Discover how software composition analysis (SCA) tools improve the security, quality, and efficiency of your open source software.
What is generative AI (GenAI)?
Generative AI creates new content—text, code, images, audio, and video—from existing data.
What is risk-based vulnerability management (RBVM)?
Discover how risk-based vulnerability management (RBVM) helps organizations focus on the most critical security risks to optimize protection and allocate resources effectively.